# How to connect MongoDB MCP with ChatGPT

```json
{
  "title": "How to connect MongoDB MCP with ChatGPT",
  "toolkit": "MongoDB MCP",
  "toolkit_slug": "mongodb_mcp",
  "framework": "ChatGPT",
  "framework_slug": "chatgpt",
  "url": "https://composio.dev/toolkits/mongodb_mcp/framework/chatgpt",
  "markdown_url": "https://composio.dev/toolkits/mongodb_mcp/framework/chatgpt.md",
  "updated_at": "2026-09-30T05:32:41.129Z"
}
```

## Introduction

### How to connect MongoDB MCP with ChatGPT
[ChatGPT](https://chatgpt.com/) can take action across your apps and files, stay with a project for hours, and turn a goal into finished materials like sheets, slides, and docs, not just answers.
In this guide, I will explain the easiest and most secure way to connect your MongoDB account to ChatGPT via Composio Connect, so it can inspect clusters, query your databases, read and write collection documents, manage indexes, and analyze performance metrics through natural language commands without ever putting your account credentials at risk.

## Also integrate MongoDB MCP with

- [Claude Cowork](https://composio.dev/toolkits/mongodb_mcp/framework/claude-cowork)
- [Hermes](https://composio.dev/toolkits/mongodb_mcp/framework/hermes-agent)
- [Atomic Agent](https://composio.dev/toolkits/mongodb_mcp/framework/atomic-agent)

## TL;DR

### Why use Composio over default connectors?
- Apps with read and write access. Default connectors mostly can read your data. Composio's MongoDB integration lets ChatGPT take actions like creating drafts, sending updates, labeling records, and more.
- 1,500+ SaaS toolkits out of the box. Composio gives you instant access to a vast catalog of pre-built connectors, from Gmail and Slack to Notion, Linear, and Salesforce.
- One MCP server for every app. Connect any of your applications on demand through a single endpoint, rather than juggling a separate server for each app.
- Smart, context-aware tool loading. Unlike traditional MCP servers that dump every available tool into the LLM context window, Composio searches for and loads only the tools relevant to the task at hand.
- Cross-app automation. Chain actions across multiple apps in a single run - fetch a thread, summarize it in Notion, and post highlights to Slack without leaving the conversation.

## Connect MongoDB MCP to ChatGPT

### Prerequisites
- A ChatGPT account. We will use the [ChatGPT desktop app](https://openai.com/chatgpt/download/), and the steps are the same on the web.
- Access to the MongoDB workspace you want to connect.
- [Composio plugin](https://dashboard.composio.dev/login?utm_source=toolkits&utm_medium=framework_template&utm_campaign=chatgpt&utm_content=composio_connect&next=%2F~%2Forg%2Fconnect%2Fclients%2Fchatgpt).
Note: Composio connects through OAuth. You will be asked to sign in and approve specific permissions. Review the permission screen carefully if you are using a work account.
### Step-by-step: Connect MongoDB to ChatGPT
### 1. Install the Composio plugin
Click the button. ChatGPT opens the Composio plugin page. Click Install plugin.
[Install in ChatGPT](https://chatgpt.com/plugins/plugin_asdk_app_6a58503580c08191b78cc5bdaf4eba6e)
You can also find it inside ChatGPT: go to Settings, open Plugins, search the marketplace for Composio, and click Install plugin.
### 2. Authenticate
After you install, ChatGPT asks you to authenticate with Composio. Log in and click Allow access to authorize ChatGPT to use your Composio account.
### 3. Start using Composio
That is it. Composio tools are now available in ChatGPT. Type @Composio followed by your request, for example @Composio find unread MongoDB messages and summarize them, and it will run the actions you authorize. On first use it asks you to authorize MongoDB.
### Option 2: Add Composio as an MCP server
If you cannot use the plugin marketplace, add Composio as a custom MCP server instead.
### 1. Open the MCP settings
In ChatGPT, go to Settings and open the Plugins section. Inside the Plugins page, click the MCP tab.
### 2. Add the server
Click Add server. In the Name field enter Composio, for Type select Streamable HTTP, and in the URL field paste the Composio MCP server URL:

```bash
https://connect.composio.dev/mcp
```

## What is the MongoDB MCP server, and what's possible with it?

The MongoDB MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your MongoDB account. It provides structured and secure access so your agent can perform MongoDB operations on your behalf.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `MONGODB_MCP_AGGREGATE` | Aggregate | Run an aggregation against a MongoDB collection |
| `MONGODB_MCP_AGGREGATE_DB` | Aggregate-db | Run an aggregation against a MongoDB database |
| `MONGODB_MCP_ATLAS_CREATE_ACCESS_LIST` | Atlas-create-access-list | Allow Ip/CIDR ranges to access your MongoDB Atlas clusters. |
| `MONGODB_MCP_ATLAS_CREATE_CLUSTER` | Atlas-create-cluster | Create a MongoDB Atlas cluster (M10–M80, replica set or single shard, single or multi-region). Compute autoscaling is enabled by default: min instance size is set to the selected instance size, max is set two tiers above. Disk autoscaling is always enabled. For encryption at rest, the CMK provider must already have a valid configuration in the Atlas project. The tool returns immediately, use the atlas-inspect-cluster tool to poll the cluster state for readiness (state: IDLE). Connection strings are unavailable until the cluster reaches IDLE state. Note to LLM: Omit instance size unless specified by the user. If provider and regions are not already known, ask for both together in a single question before calling this tool. Common, non-exhaustive region default mappings by provider: AWS: "East Coast"/"Virginia"/"US East" → US_EAST_1, "Ohio" → US_EAST_2, "California"/"West Coast" → US_WEST_2, "Southeast Asia"/"APAC"/"Singapore" → AP_SOUTHEAST_1, "Europe"/"EU"/"Ireland" → EU_WEST_1. GCP: "Central US" → CENTRAL_US, "Western US" → WESTERN_US, "Southeast Asia"/"APAC" → SOUTHEASTERN_ASIA_PACIFIC, "Europe"/"EU" → WESTERN_EUROPE. AZURE: "East US" → US_EAST_2, "West US" → US_WEST_2, "Europe North" → EUROPE_NORTH, "Europe West" → EUROPE_WEST. Default recommendation: AWS US_EAST_1. User-specified regions not present in the mapping MUST be respected, rely on the tool to surface errors if a region is not supported. |
| `MONGODB_MCP_ATLAS_CREATE_DB_USER` | Atlas-create-db-user | Create an MongoDB Atlas database user |
| `MONGODB_MCP_ATLAS_CREATE_FREE_CLUSTER` | Atlas-create-free-cluster | Create a free MongoDB Atlas cluster |
| `MONGODB_MCP_ATLAS_CREATE_PROJECT` | Atlas-create-project | Create a MongoDB Atlas project |
| `MONGODB_MCP_ATLAS_GET_PERFORMANCE_ADVISOR` | Atlas-get-performance-advisor | Get MongoDB Atlas performance advisor recommendations and suggestions, which includes the operations: suggested indexes, drop index suggestions, schema suggestions, and a sample of the most recent (max 50) slow query logs |
| `MONGODB_MCP_ATLAS_INSPECT_ACCESS_LIST` | Atlas-inspect-access-list | Inspect Ip/CIDR ranges with access to your MongoDB Atlas clusters. |
| `MONGODB_MCP_ATLAS_INSPECT_CLUSTER` | Atlas-inspect-cluster | Inspect metadata of a MongoDB Atlas cluster |
| `MONGODB_MCP_ATLAS_LIST_ALERTS` | Atlas-list-alerts | List triggered alerts for a MongoDB Atlas project. These are alerts Atlas has raised, not the alert configurations that define them. Defaults to OPEN alerts; set status to TRACKING or CLOSED to see others. |
| `MONGODB_MCP_ATLAS_LIST_CLUSTERS` | Atlas-list-clusters | List MongoDB Atlas clusters |
| `MONGODB_MCP_ATLAS_LIST_DB_USERS` | Atlas-list-db-users | List MongoDB Atlas database users |
| `MONGODB_MCP_ATLAS_LIST_ORGS` | Atlas-list-orgs | List MongoDB Atlas organizations |
| `MONGODB_MCP_ATLAS_LIST_PROJECTS` | Atlas-list-projects | List MongoDB Atlas projects. |
| `MONGODB_MCP_ATLAS_LOAD_SAMPLE_DATASET` | Atlas-load-sample-dataset | Load a MongoDB sample dataset into an Atlas cluster, or check the status of a previously-initiated load. To start a new load, provide `clusterName` — the load runs asynchronously and the response includes a `jobId` and initial state. To check progress, call this tool again with `jobId` (sample dataset loads typically take 1–5 minutes). State can be WORKING, COMPLETED, or FAILED. |
| `MONGODB_MCP_ATLAS_PAUSE_RESUME_CLUSTER` | Atlas-pause-resume-cluster | Pause or resume a dedicated (M10+) MongoDB Atlas cluster (Free and Flex clusters cannot be paused). Pause: paused clusters are unavailable for connections and do not incur compute costs. If the cluster being paused is the current active connection, it will be automatically disconnected. Returns an error if the cluster is already paused or not in a pausable state (must be IDLE). Resume: the cluster will not be immediately available after resuming. Use the atlas-inspect-cluster tool to poll the cluster state for readiness (state: IDLE). If the cluster is not paused, resuming it is a no-op. |
| `MONGODB_MCP_ATLAS_STREAMS_BUILD` | Atlas-streams-build | Create Atlas Stream Processing resources. Use this tool for 'set up a Kafka pipeline', 'create a workspace', 'add a connection', or 'deploy a processor'. Use resource='workspace' to create a new workspace (specify cloud provider, region, and tier). Use resource='connection' to add a data source or sink to an existing workspace. Use resource='processor' to deploy a stream processor with a pipeline. Use resource='privatelink' to set up private networking. Typical workflow: create workspace → add connections → deploy processor. |
| `MONGODB_MCP_ATLAS_STREAMS_DISCOVER` | Atlas-streams-discover | Discover and inspect Atlas Stream Processing resources. Also use for 'why is my processor failing', 'what workspaces do I have', 'show processor stats', or 'check processor health'. Use 'list-workspaces' to see all workspaces in a project. Use inspect actions for details on a specific resource. Use 'diagnose-processor' for a combined health report including state, stats, connection health, and recent errors. Use 'get-networking' for PrivateLink and account details. |
| `MONGODB_MCP_ATLAS_STREAMS_MANAGE` | Atlas-streams-manage | Manage Atlas Stream Processing resources: start/stop processors, modify pipelines, update configurations. Also use for 'change the pipeline', 'scale up my processor', or 'update my workspace tier'. Common workflow: action='stop-processor' → action='modify-processor' → action='start-processor'. Use `atlas-streams-discover` with action 'inspect-processor' to check state before managing. |
| `MONGODB_MCP_ATLAS_STREAMS_TEARDOWN` | Atlas-streams-teardown | Delete Atlas Stream Processing resources. Also use for 'remove my workspace', 'disconnect a source', 'delete all processors', or 'clean up my streams environment'. Performs basic safety checks before deletion: summarizes counts of processors and connections, highlights connections referenced by processors where possible, and surfaces API errors if processors are still running when deletion is attempted. Use `atlas-streams-discover` to review resources before deleting. |
| `MONGODB_MCP_ATLAS_UPGRADE_CLUSTER` | Atlas-upgrade-cluster | Upgrade a MongoDB Atlas cluster tier. Upgrades Free (M0) clusters to Flex or M10 Dedicated, or Flex clusters to M10 Dedicated. The upgrade path is determined automatically from the current tier unless overridden with targetTier. Note to LLM: If provider and region are not already known, ask for both together in a single question before calling this tool. Common region mappings by provider (default recommendation: AWS US_EAST_1): AWS: "East Coast"/"Virginia"/"US East" → US_EAST_1, "Ohio" → US_EAST_2, "California"/"West Coast" → US_WEST_2, "Southeast Asia"/"APAC"/"Singapore" → AP_SOUTHEAST_1, "Europe"/"EU"/"Ireland" → EU_WEST_1. GCP: "Central US" → CENTRAL_US, "Western US" → WESTERN_US, "Southeast Asia"/"APAC" → SOUTHEASTERN_ASIA_PACIFIC, "Europe"/"EU" → WESTERN_EUROPE. AZURE: "East US" → US_EAST_2, "West US" → US_WEST_2, "Europe"/"EU" → EUROPE_NORTH. |
| `MONGODB_MCP_COLLECTION_INDEXES` | Collection-indexes | Describe the indexes for a collection |
| `MONGODB_MCP_COLLECTION_SCHEMA` | Collection-schema | Describe the schema for a collection |
| `MONGODB_MCP_COLLECTION_STORAGE_SIZE` | Collection-storage-size | Gets the size of the collection |
| `MONGODB_MCP_COUNT` | Count | Gets the number of documents in a MongoDB collection using db.collection.count() and query as an optional filter parameter |
| `MONGODB_MCP_CREATE_COLLECTION` | Create-collection | Creates a new collection in a database. If the database doesn't exist, it will be created automatically. |
| `MONGODB_MCP_CREATE_INDEX` | Create-index | Create an index for a collection |
| `MONGODB_MCP_DB_STATS` | Db-stats | Returns statistics that reflect the use state of a single database |
| `MONGODB_MCP_DELETE_MANY` | Delete-many | Removes all documents that match the filter from a MongoDB collection |
| `MONGODB_MCP_DROP_COLLECTION` | Drop-collection | Removes a collection or view from the database. The method also removes any indexes associated with the dropped collection. |
| `MONGODB_MCP_DROP_DATABASE` | Drop-database | Removes the specified database, deleting the associated data files |
| `MONGODB_MCP_DROP_INDEX` | Drop-index | Drop an index for the provided database and collection. |
| `MONGODB_MCP_EXPLAIN` | Explain | Returns statistics describing the execution of the winning plan chosen by the query optimizer for the evaluated method |
| `MONGODB_MCP_FIND` | Find | Run a find query against a MongoDB collection |
| `MONGODB_MCP_INSERT_MANY` | Insert-many | Insert an array of documents into a MongoDB collection. If the list of documents is above com.mongodb/maxRequestPayloadBytes, consider inserting them in batches. |
| `MONGODB_MCP_LIST_COLLECTIONS` | List-collections | List all collections for a given database |
| `MONGODB_MCP_LIST_DATABASES` | List-databases | List all databases for a MongoDB connection |
| `MONGODB_MCP_REMOTE_ATLAS_CONNECT` | Remote-atlas-connect | Connect to MongoDB Atlas cluster |
| `MONGODB_MCP_RENAME_COLLECTION` | Rename-collection | Renames a collection in a MongoDB database |
| `MONGODB_MCP_UPDATE_MANY` | Update-many | Updates all documents that match the specified filter for a collection. If the list of documents is above com.mongodb/maxRequestPayloadBytes, consider updating them in batches. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

Once connected, ChatGPT can access the MongoDB MCP server via Composio to run actions that you authorize, directly in your workspace.

## Complete Code

None listed.

## How to build MongoDB MCP Agent with another framework

- [Claude Cowork](https://composio.dev/toolkits/mongodb_mcp/framework/claude-cowork)
- [Hermes](https://composio.dev/toolkits/mongodb_mcp/framework/hermes-agent)
- [Atomic Agent](https://composio.dev/toolkits/mongodb_mcp/framework/atomic-agent)

## Related Toolkits

- [Supabase](https://composio.dev/toolkits/supabase) - Supabase is an open-source backend platform offering scalable Postgres databases, authentication, storage, and real-time APIs. It lets developers build modern apps without managing infrastructure.
- [Codeinterpreter](https://composio.dev/toolkits/codeinterpreter) - Codeinterpreter is a Python-based coding environment with built-in data analysis and visualization. It lets you instantly run scripts, plot results, and prototype solutions inside supported platforms.
- [GitHub](https://composio.dev/toolkits/github) - GitHub is a code hosting platform for version control and collaborative software development. It streamlines project management, code review, and team workflows in one place.
- [1password](https://composio.dev/toolkits/_1password) - 1Password is a password manager and digital vault for storing logins, secrets, notes, and secure documents. It helps individuals and teams protect credentials, share access safely, and reduce password risk.
- [Ably](https://composio.dev/toolkits/ably) - Ably is a real-time messaging platform for live chat and data sync in modern apps. It offers global scale and rock-solid reliability for seamless, instant experiences.
- [Abuselpdb](https://composio.dev/toolkits/abuselpdb) - Abuselpdb is a central database for reporting and checking IPs linked to malicious online activity. Use it to quickly identify and report suspicious or abusive IP addresses.
- [Alchemy](https://composio.dev/toolkits/alchemy) - Alchemy is a blockchain development platform offering APIs and tools for Ethereum apps. It simplifies building and scaling Web3 projects with robust infrastructure.
- [Algolia](https://composio.dev/toolkits/algolia) - Algolia is a hosted search API that powers lightning-fast, relevant search experiences for web and mobile apps. It helps developers deliver instant, typo-tolerant, and scalable search without complex infrastructure.
- [Anakin](https://composio.dev/toolkits/anakin_io) - Anakin is a web automation platform offering scraping, crawling, search, and browser automation. Use it to extract structured data, automate site tasks, and monitor web changes reliably.
- [Anchor browser](https://composio.dev/toolkits/anchor_browser) - Anchor browser is a developer platform for AI-powered web automation. It transforms complex browser actions into easy API endpoints for streamlined web interaction.
- [Apiflash](https://composio.dev/toolkits/apiflash) - Apiflash is a website screenshot API for programmatically capturing web pages. It delivers high-quality screenshots on demand for automation, monitoring, or reporting.
- [Apiverve](https://composio.dev/toolkits/apiverve) - Apiverve delivers a suite of powerful APIs that simplify integration for developers. It's designed for reliability and scalability so you can build faster, smarter applications without the integration headache.
- [Appcircle](https://composio.dev/toolkits/appcircle) - Appcircle is an enterprise-grade mobile CI/CD platform for building, testing, and publishing mobile apps. It streamlines mobile DevOps so teams ship faster and with more confidence.
- [Appdrag](https://composio.dev/toolkits/appdrag) - Appdrag is a cloud platform for building websites, APIs, and databases with drag-and-drop tools and code editing. It accelerates development and iteration by combining hosting, database management, and low-code features in one place.
- [Appveyor](https://composio.dev/toolkits/appveyor) - AppVeyor is a cloud-based continuous integration service for building, testing, and deploying applications. It helps developers automate and streamline their software delivery pipelines.
- [Authyo](https://composio.dev/toolkits/authyo) - Authyo is a REST API service for passwordless authentication, OTP verification, session management, and transactional notifications. Use it to add secure login flows and user verification without building auth infrastructure from scratch.
- [AWS Marketplace MCP](https://composio.dev/toolkits/aws_marketplace_mcp) - AWS Marketplace MCP provides MCP access to AWS Marketplace's cloud software, data, and services catalog. Use it to discover, compare, and evaluate 30K+ AWS Marketplace listings faster.
- [Azure Monitor Activity Log](https://composio.dev/toolkits/azure_monitor_activity_log) - Azure Monitor Activity Log is Azure's service that records management and control-plane events for a subscription. Use it to audit changes, troubleshoot issues, and track resource operations across your Azure resources.
- [Backendless](https://composio.dev/toolkits/backendless) - Backendless is a backend-as-a-service platform for mobile and web apps, offering database, file storage, user authentication, and APIs. It helps developers ship scalable applications faster without managing server infrastructure.
- [Baserow](https://composio.dev/toolkits/baserow) - Baserow is an open-source no-code database platform for building collaborative data apps. It makes it easy for teams to organize data and automate workflows without writing code.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and MongoDB MCP?

With a standalone MongoDB MCP server, the agents and LLMs can only access a fixed set of MongoDB tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from MongoDB and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with ChatGPT?

Yes, you can. ChatGPT fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right MongoDB tools.

### Can I manage the permissions and scopes for MongoDB while using Tool Router?

Yes, absolutely. You can configure which MongoDB scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your MongoDB data and credentials are handled as safely as possible.

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